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• • Séminaire

  • SoSysec

  Formal security proofs in a post-quantum world

  • 19 novembre 2021

  • Inria Center of the University of Rennes - - Room TBD

  Orateur : Charlie Jacomme (CISPA)

  In the recent years, formals methods for security and their associated tools have been used successfully both to find novel and complex attacks on many protocols [A] and to help in their standardization process. They however face a new challenge with the increasing probability of quantum computers coming into the real-world: we need to be able to provide guarantees against quantum attackers.In[…]

• • Séminaire

  • SoSysec

  Does Facebook use sensitive data for advertising?

  • 12 mars 2021

  • Inria Center of the University of Rennes - - Room TBD

  Orateur : José González Cabañas (Universidad Carlos III de Madrid, Spain)

  Large online platforms use personal data, for example, your interests, to allow advertisers to reach you based on the things you like. But did you know some of these interests they use are associated with sensitive information directly linked to your social profile? In this talk, I will talk about the definition of sensitive data in terms of the General Data Protection Regulation in Europe (GDPR).[…]

• • Séminaire

  • SoSysec

  Learning-Based Network Intrusion Detection: an Imbalanced, Constantly Evolving and Timely Problem

  • 07 octobre 2022

  • Inria Center of the University of Rennes - - Room TBD

  Orateur : Maxime Pelcat (INSA Rennes)

  Network intrusion detection systems (NIDS) observe network traffic and aim to pinpoint intrusions, i.e. effective threats on the integrity, availability or confidentiality of services and data provided by this network. There are two types of NIDS:1) signature-based intrusion detection systems that identify known intrusions by referring to an existing knowledge base, and2) anomaly-based intrusion[…]

• • Séminaire

  • SoSysec

  Intriguing Properties of Adversarial ML Attacks in the Problem Space

  • 19 juin 2020

  • Inria Center of the University of Rennes - - Room TBD

  Orateur : Fabio Pierazzi (King’s College London)

  Recent research efforts on adversarial ML have investigated problem-space attacks, focusing on the generation of real evasive objects in domains where, unlike images, there is no clear inverse mapping to the feature space (e.g., software). However, the design, comparison, and real-world implications of problem-space attacks remain underexplored. In this talk, I will present two major contributions[…]

• • Séminaire

  • SoSysec

  Built on sand: on the security of Collaborative Machine Learning

  • 25 mars 2022

  • Inria Center of the University of Rennes - - Room TBD

  Orateur : Dario Pasquini (EPFL)

  This talk is about inaccurate assumptions, unrealistic trust models, and flawed methodologies affecting current collaborative machine learning techniques. In the presentation, we cover different security issues concerning both emerging approaches and well-established solutions in privacy-preserving collaborative machine learning. We start by discussing the inherent insecurity of Split Learning and[…]

• • Séminaire

  • SoSysec

  Ransomware Detection Using Markov Chain Models Over File Headers

  • 26 novembre 2021

  • Inria Center of the University of Rennes - - Room TBD

  Orateur : David Lubicz (DGA-MI)

  In this paper, a new approach for the detection of ransomware based on the runtime analysis of their behaviour is presented. The main idea is to get samples by using a mini-filter to intercept write requests, then decide if a sample corresponds to a benign or a malicious write request. To do so, in a learning phase, statistical models of structured file headers are built using Markov chains. Then[…]